The application of cDNA and tissue microarray methods in the study of human carcinomas

Currently, numerous high-throughput technologies are available for the study of human carcinomas. In literature, many variations of these techniques have been described. The common denominator for these methodologies is the high amount of data obtained in a single experiment, in a short time period, and at a fairly low cost. However, these methods have also been described with several problems and limitations. The purpose of this study was to test the applicability of two selected high-throughput methods, cDNA and tissue microarrays (TMA), in cancer research. Two common human malignancies, breast and colorectal cancer, were used as examples. This thesis aims to present some practical considerations that need to be addressed when applying these techniques. cDNA microarrays were applied to screen aberrant gene expression in breast and colon cancers. Immunohistochemistry was used to validate the results and to evaluate the association of selected novel tumour markers with the outcome of the patients. The type of histological material used in immunohistochemistry was evaluated especially considering the applicability of whole tissue sections and different types of TMAs. Special attention was put on the methodological details in the cDNA microarray and TMA experiments. In conclusion, many potential tumour markers were identified in the cDNA microarray analyses. Immunohistochemistry could be applied to validate the observed gene expression changes of selected markers and to associate their expression change with patient outcome. In the current experiments, both TMAs and whole tissue sections could be used for this purpose. This study showed for the first time that securin and p120 catenin protein expression predict breast cancer outcome and the immunopositivity of carbonic anhydrase IX associates with the outcome of rectal cancer. The predictive value of these proteins was statistically evident also in multivariate analyses with up to a 13.1- fold risk for cancer specific death in a specific subgroup of patients.

Some advances in mathematical models for preference relations

Preference relations, and their modeling, have played a crucial role in both social sciences and applied mathematics. A special category of preference relations is represented by cardinal preference relations, which are nothing other than relations which can also take into account the degree of relation. Preference relations play a pivotal role in most of multi criteria decision making methods and in the operational research. This thesis aims at showing some recent advances in their methodology. Actually, there are a number of open issues in this field and the contributions presented in this thesis can be grouped accordingly. The first issue regards the estimation of a weight vector given a preference relation. A new and efficient algorithm for estimating the priority vector of a reciprocal relation, i.e. a special type of preference relation, is going to be presented. The same section contains the proof that twenty methods already proposed in literature lead to unsatisfactory results as they employ a conflicting constraint in their optimization model. The second area of interest concerns consistency evaluation and it is possibly the kernel of the thesis. This thesis contains the proofs that some indices are equivalent and that therefore, some seemingly different formulae, end up leading to the very same result. Moreover, some numerical simulations are presented. The section ends with some consideration of a new method for fairly evaluating consistency. The third matter regards incomplete relations and how to estimate missing comparisons. This section reports a numerical study of the methods already proposed in literature and analyzes their behavior in different situations. The fourth, and last, topic, proposes a way to deal with group decision making by means of connecting preference relations with social network analysis.

Role of Capabilities in Purchasing and Supply Management Performance

The objective of this thesis was to study the role of capabilities in purchasing and supply management. For the pre-understanding of the research topic, purchasing and supply management development and the multidimensional, unstructured and complex nature of purchasing and supply management performance was studied in literature review. In addition, a capability-based purchasing and supply management performance framework were researched and structured for the empirical research. Due to the unstructured nature of the research topic, the empirical research is three-pronged in this study including three different research methods: the Delphi method, semi-structured interview, and case research. As a result, the purchasing and supply management capability assessment tool was structured to measure current level of capabilities and impact of capabilities on purchasing and supply management performance. The final results indicate that capabilities are enablers of purchasing and supply management performance, and therefore critical to purchasing and supply performance.

The principle of autonomy in Brazil: one needs to discuss it ...

The principle of patient autonomy is a cornerstone of bioethics. According to this concept, patients should be given the power to make decisions related to their treatment. It is an important component of modern medical ethics, which has received much interest in current literature. However, the rate of participation of patients and their willingness to participate are variable according to the cultural, social and family environments in which they are inserted. The aim of this paper is to promote a brief descriptive review on autonomy, the preferences of patients and the use of informed consent as an instrument for the exercise of autonomy in literature, and to stress the lack of debate, as well as the pressing need for discussion of these current issues nationwide.

Storytelling as a branding tool in social media

Tutkimuksen tavoitteena on kuvailla tarinankerrontaa brändin rakennuksen välineenä, ja selvittää mitkä ovat tarinankerronnan erityispiirteet sosiaalisessa mediassa. Aikaisempien teorioiden ja julkaisujen avulla kootaan viitekehys joka osoittaa käsitteiden vaikutukset toisiinsa. Tutkimus osoittaa tarinankerronnan vaikuttavan vahvistavasti kaikkiin brändipääoman ulottuvuuksiin, lähinnä tunteita herättävien ja muistettavuutta lisäävien ominaisuuksiensa ansiosta. Empiirisessä osiossa selvitetään laadullisen sisällönanalyysin keinoin kuinka yleistä brändien tarinankerronta tällä hetkellä on, ja kuvaillaan millaisia tarinoita yritykset kertovat. Aineisto koostuu sadan suosituimman brändin Facebookissa jakamista videomuotoisista tarinoista. Tutkimus osoitti, että brändien tarinankerronta sosiaalisessa mediassa on toistaiseksi melko vähäistä. Tarinat voidaan luokitella kirjallisuudesta tuttujen tarinatyyppien mukaisesti. Suurin osa brändien esittämistä tarinoista pyrkii synnyttämään yleisössä ihailun ja nostalgian tunteita, mutta useat tarinat myös sisältävät humoristisia piirteitä.

Brand Identity and Image in B2B Factory Automation Context

The goal of this thesis is to study how a solution-oriented business-to-business company can utilize its brand as a strategic asset by using the concepts of brand identity and brand image. The study analyses the intended brand message (identity) contrasting it with the customer perceptions (image) to reveal points of parity and congruence. The study uses a case company as an example and discusses the benefits of brand management as well. Internally, brands can be studied by performing a set of interviews amongst top and middle management. The interviews need to consider the various elements of branding from associations to differentiation and value creation. Customers’ perceptions can be reliably studied via online survey designed to compare the intended brand message with customers’ experiences. From the perspective of industrial management the incentive for brand development lies in both monetary and managerial benefits. In literature the four essential benefits of B2B branding are risk dilution, efficiency of communications, strategic direction and price premiums. As a result, suggestive models for brand identity and image were devised and compared. The Case Company perceives itself as a technically oriented open-integrator, with a strong focus on reliability and customer service. Customers agree with the picture in general, but there are some points of parity as well: they are quite satisfied with the company and perceive it as reliable and providing the promised value. The problematic areas revolve around customer interaction and maintaining the leadership position. The results confirm previous findings in B2B branding theory, where the reliability and credibility of the supplier are in major role. The results also suggest a holistic, corporate approach on branding.

Modeling of Liquid-Solid Flow in Industrial Scale

In the present work, liquid-solid flow in industrial scale is modeled using the commercial software of Computational Fluid Dynamics (CFD) ANSYS Fluent 14.5. In literature, there are few studies on liquid-solid flow in industrial scale, but any information about the particular case with modified geometry cannot be found. The aim of this thesis is to describe the strengths and weaknesses of the multiphase models, when a large-scale application is studied within liquid-solid flow, including the boundary-layer characteristics. The results indicate that the selection of the most appropriate multiphase model depends on the flow regime. Thus, careful estimations of the flow regime are recommended to be done before modeling. The computational tool is developed for this purpose during this thesis. The homogeneous multiphase model is valid only for homogeneous suspension, the discrete phase model (DPM) is recommended for homogeneous and heterogeneous suspension where pipe Froude number is greater than 1.0, while the mixture and Eulerian models are able to predict also flow regimes, where pipe Froude number is smaller than 1.0 and particles tend to settle. With increasing material density ratio and decreasing pipe Froude number, the Eulerian model gives the most accurate results, because it does not include simplifications in Navier-Stokes equations like the other models. In addition, the results indicate that the potential location of erosion in the pipe depends on material density ratio. Possible sedimentation of particles can cause erosion and increase pressure drop as well. In the pipe bend, especially secondary flows, perpendicular to the main flow, affect the location of erosion.

Model-Based Tracking Initialization in Ship Building Environment

An augmented reality (AR) device must know observer’s location and orientation, i.e. observer’s pose, to be able to correctly register the virtual content to observer’s view. One possible way to determine and continuously follow-up the pose is model-based visual tracking. It supposes that a 3D model of the surroundings is known and that there is a video camera that is fixed to the device. The pose is tracked by comparing the video camera image to the model. Each new pose estimate is usually based on the previous estimate. However, the first estimate must be found out without a prior estimate, i.e. the tracking must be initialized, which in practice means that some model features must be identified from the image and matched to model features. This is known in literature as model-to-image registration problem or simultaneous pose and correspondence problem. This report reviews visual tracking initialization methods that are suitable for visual tracking in ship building environment when the ship CAD model is available. The environment is complex, which makes the initialization non-trivial. The report has been done as part of MARIN project.

Demand forecasting process design and methods in medium sized enterprise

The purpose of this thesis was to study the design of demand forecasting processes and management of demand. In literature review were different processes found and forecasting methods and techniques interviewed. Also role of bullwhip effect in supply chain was identified and how to manage it with information sharing operations. In the empirical part of study is at first described current situation and challenges in case company. After that will new way to handle demand introduced with target budget creation and how information sharing with 5 products and a few customers would bring benefits to company. Also the new S&OP process created within this study and organization for it.

Operations management in courts of justice - outlining functions, challenges and development possibilities

Professional services are an increasingly important group of economy and related to them there has been identified a fairly new concept called professional service operations management. However professional service operations management is still quite under-researched area which needs further research especially in specific contexts. This study aims to respond to that need by examining courts as an environment for operations management. As a result there is a preliminary structured description of what operations management is and could be in courts. The study also aims to inspire and tentatively classify possible areas for future research. Courts are examined based on three common perspectives for typical characteristics of professional services which can be identified in literature: the nature of customer role, the nature of professional work and the nature of process and product. The examination is based on research data from several research projects conducted in Finland and other European countries. Based on the examination it can be said that the operational environment of courts is highly complex and demanding because the case as an object of operations management tasks is challenging, the process sets strict requirements to the handling of the cases and the workforce is hard to direct.

Children at psychiatric risk and their families in Bucharest, in the context of 25 years of changes after December 89’ Romanian Revolution

The aim of the present dissertation was to capture a picture of child and adolescent mental health in Romania, in the context of almost 25 years of changes following the Romanian Revolution of December ’89. A three-part study was carried out in order to provide consistent answers to the pre-defined objectives: to appraise the development of child and adolescent mental health services in Romania (Part I), to explore the characteristics of clinically-referred patients in a Romanian child and adolescent psychiatry department (Part II), to examine the children’s mental health state and its connections with family functioning and associated risk factors (Part III). A multi-method research approach was used, comprising one qualitative analysis and two quantitative research studies. Part I consisted of a comparative qualitative analysis of the answers given by 10 mental health professionals at a 12-questions open ended interview about the current situation in child and adolescent mental health in Romania, on three topics: changes, challenges, solutions. Part II involved a descriptive quantitative analysis of certain variables (e.g. age, gender, primary diagnosis, co-morbidities, time of hospitalization) conducted on the patients who had been admitted to the Child and Adolescent Psychiatry Department at “Prof. Dr. Alexandru Obregia” Psychiatry Hospital, Bucharest in 1991 and in 2013. Part III was conducted on 342 subjects enrolled in two clinical groups and one school group, this study being performed through a cross-sectional analysis on multi-informant child and adolescent mental health problems and competencies (CBCL, YSR, SDQ P, SDQ SR) and their interrelation with household information (HQ) and family functioning (FAD). Outlining the results it can be stated that: 1) The CAMH System in Romania is definitely set on the path of reorganization, including a higher involvement of beneficiaries and of the community. 2) The characteristics of the admitted patients have changed significantly during the last almost 25 years since `89 December Revolution, under the influence of word wide trends in child psychiatry and of administrative aspects of the mental health network in Romania. 3) The rates of main diagnoses and co-morbidities confirm the reports in literature, with Autism Spectrum Disorder being the most frequent childhood psychiatric disorders in this study. 4) The children’s mental health problems in the psychiatry group are comparable to those reported for other clinical populations. 5) Significant score differences were observed according to various household features and also meaningful associations between a child’s clinical status and different aspects of family functioning. The Romanian Child and Adolescent Psychiatry has started to adopt the norms and standards of the European Union. In the 25 years that have elapsed after the 1989 Revolution, many changes have occurred in Romanian CAMH, but many unresolved issues have also risen. Therefore, the major contribution of this thesis is that it provides a coherent and updated overview of the present-day situation from three different perspectives- those of mental healthcare professionals, the one observed in clinical patients and the one reported by children’s families.

Supplier segmentation and development in project business

The purpose of this study was to expand the applicability of supplier segmentation and development approaches to the project-driven construction industry. These practices are less exploited and not well documented in this operational environment compared to the process-centric manufacturing industry. At first, portfolio models to supply base segmentation and various supplier development efforts were investigated in literature review. A step-wise framework was structured for the empirical research. The empirical study employed multiple research methods in three case studies in a large Finnish construction company. The first study categorized the construction item classes into the purchasing portfolio and positioned suppliers to the power matrix by investigating buyer-supplier relations. Using statistical tests, the study also identified factors that affect suppliers’ performance. The final case study identified improvement areas of the interface between a main contractor and one if its largest suppliers. The final results indicate that only by assessing the supply base in a holistic manner and the power circumstances in it, buyers comprehend how to best establish appropriate supplier development strategies in the project environment.

Clinical and molecular analysis of human reproductive disorders in Brazilian patients

Several genes that influence the development and function of the hypothalamic-pituitary-gonadal-axis (HPG) have been identified. These genes encode an array of transcription factors, matrix proteins, hormones, receptors, and enzymes that are expressed at multiple levels of the HPG. We report the experience of a single Endocrinology Unit in the identification and characterization of naturally occurring mutations in families affected by HPG disorders, including forms of precocious puberty, hypogonadism and abnormal sexual development due to impaired gonadotropin function. Eight distinct genes implicated in HPG function were studied: KAL, SF1, DAX1, GnRH, GnRHR, FSHß, FSHR, and LHR. Most mutations identified in our cohort are described for the first time in literature. New mutations in SF1, DAX1 and GnRHR genes were identified in three Brazilian patients with hypogonadism. Eight boys with luteinizing hormone- (LH) independent precocious puberty due to testotoxicosis were studied, and all have their LH receptor (LHR) defects elucidated. Among the identified LHR molecular defects, three were new activating mutations. In addition, these mutations were frequently associated with new clinical and hormonal aspects, contributing significantly to the knowledge of the molecular basis of reproductive disorders. In conclusion, the naturally occurring genetic mutations described in the Brazilian families studied provide important insights into the regulation of the HPG.

Semantic and fuzzy modelling for human behaviour recognition in smart spaces : a case study on ambient assisted living.

Human activity recognition in everyday environments is a critical, but challenging task in Ambient Intelligence applications to achieve proper Ambient Assisted Living, and key challenges still remain to be dealt with to realize robust methods. One of the major limitations of the Ambient Intelligence systems today is the lack of semantic models of those activities on the environment, so that the system can recognize the speci c activity being performed by the user(s) and act accordingly. In this context, this thesis addresses the general problem of knowledge representation in Smart Spaces. The main objective is to develop knowledge-based models, equipped with semantics to learn, infer and monitor human behaviours in Smart Spaces. Moreover, it is easy to recognize that some aspects of this problem have a high degree of uncertainty, and therefore, the developed models must be equipped with mechanisms to manage this type of information. A fuzzy ontology and a semantic hybrid system are presented to allow modelling and recognition of a set of complex real-life scenarios where vagueness and uncertainty are inherent to the human nature of the users that perform it. The handling of uncertain, incomplete and vague data (i.e., missing sensor readings and activity execution variations, since human behaviour is non-deterministic) is approached for the rst time through a fuzzy ontology validated on real-time settings within a hybrid data-driven and knowledgebased architecture. The semantics of activities, sub-activities and real-time object interaction are taken into consideration. The proposed framework consists of two main modules: the low-level sub-activity recognizer and the high-level activity recognizer. The rst module detects sub-activities (i.e., actions or basic activities) that take input data directly from a depth sensor (Kinect). The main contribution of this thesis tackles the second component of the hybrid system, which lays on top of the previous one, in a superior level of abstraction, and acquires the input data from the rst module's output, and executes ontological inference to provide users, activities and their in uence in the environment, with semantics. This component is thus knowledge-based, and a fuzzy ontology was designed to model the high-level activities. Since activity recognition requires context-awareness and the ability to discriminate among activities in di erent environments, the semantic framework allows for modelling common-sense knowledge in the form of a rule-based system that supports expressions close to natural language in the form of fuzzy linguistic labels. The framework advantages have been evaluated with a challenging and new public dataset, CAD-120, achieving an accuracy of 90.1% and 91.1% respectively for low and high-level activities. This entails an improvement over both, entirely data-driven approaches, and merely ontology-based approaches. As an added value, for the system to be su ciently simple and exible to be managed by non-expert users, and thus, facilitate the transfer of research to industry, a development framework composed by a programming toolbox, a hybrid crisp and fuzzy architecture, and graphical models to represent and con gure human behaviour in Smart Spaces, were developed in order to provide the framework with more usability in the nal application. As a result, human behaviour recognition can help assisting people with special needs such as in healthcare, independent elderly living, in remote rehabilitation monitoring, industrial process guideline control, and many other cases. This thesis shows use cases in these areas.

Collective Memory Embodied in Poetry as Poison. The Mnemonic Role of Romantic Poets Discussed on the Basis of Adam Mickiewicz’ Konrad Wallenrod and Forefathers (Part III)

This thesis constitutes an interdisciplinary approach to the Polish Romanticism combining literature studies with memory studies, nationalism research and psychoanalysis. This phenomenon-based study attempts to answer the question, how the Polish national poet Adam Mickiewicz (1798–1855) – or more exactly the implied authors in his works – perceived the role of poetry in mnemonic terms and how it changes in course of time. Consequently, ‘memory in literature’ (Astrin Erll and Ansger Nünning) is discussed here. Two pieces of writing by Mickiewicz – Konrad Wallenrod [1828] and the third part of Forefathers [1832], where a bard respectively a poetic genius appears – are seen as meta-texts defining goals of poets in time of the political non-existence of a state. Poetry is supposed to keep memory of the glorious past alive, kindle the love for the motherland, support the collective identity of a group and initiate a liberation movement. Poets function as memory guards, leaders of the nation and prophets. Thus, literature is a medium of collective memory – it stores crucial contents, transmits them and acts as a cue. Nevertheless, shifting the focus from the community towards well-being of individuals, which is consistent with the postmodern thinking, the impact that poetry has on members of a given memory culture (Jan Assmann) can be described in ‘vampiric’ terms (Maria Janion). Poetry embodying collective memory may be compared to ‘poison’, ‘infecting’ people with a nationalistic way of thinking to their disadvantage as far as their personal lives are concerned.